SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Multiverse Computing is a well-funded, fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. With 180+ employees, the company is the largest quantum software company in the EU, delivering hyper-efficient software for quantum computing and AI applications.
The company's flagship products include CompactifAI, a groundbreaking compression tool for foundational AI models using Tensor Networks that enables efficient compression of large language models and other AI systems, and Singularity, a quantum- and quantum-inspired optimization platform used by Fortune-500 companies to solve complex problems in finance, energy, and manufacturing.
As a Senior Software Engineer, you will join a world-class team of quantum and AI experts with strong academic and industry backgrounds. You'll work with Fortune-500 customers from government and private sectors, contributing to groundbreaking compression tools and tackling high-value open problems from industry. You'll take on technical leadership, working alongside software and DevOps engineers, machine learning specialists, and quantum experts to industrialize core technologies.
Required qualifications include a proven track record designing and implementing production-grade software under real load, solid understanding of clean architecture, SOLID principles, and software design patterns. You must have experience with service-level architecture (API design, layered architectures, event-driven patterns), software security principles, containerized deployment (Docker), and CI/CD concepts. Soft skills include the ability to propose solutions to unfamiliar problems, break down complex cross-repo issues, mentor mid-level engineers, communicate technical risk clearly, and collaborate cross-functionally without requiring management mediation.
Preferred qualifications include exposure to PyTorch and HuggingFace Transformers, familiarity with ML infrastructure concepts (training orchestration, experiment tracking, GPU scheduling), awareness of LLM techniques (distillation, quantization, pruning), and GPU-aware engineering experience (CUDA, mixed precision, multi-GPU). Infrastructure experience with ECR, ArgoCD/Helm, async job orchestration, CLI frameworks, and Python packaging is valued.
The company offers an indefinite contract, equal pay, variable performance bonus, signing bonus, work visa sponsorship, relocation packages, private health insurance, flexible remuneration, educational budget, hybrid work opportunity, flexible hours, language classes, and a progressive, inclusive culture.
